ReadPapers
1.
Introduction
2.
Animate3d: Animating any 3d model with multi-view video diffusion
3.
Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos
4.
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
5.
PIG: Physically-based Multi-Material Interaction with 3D Gaussians
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EnliveningGS: Active Locomotion of 3DGS
7.
SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction
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PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation
9.
PMG: Progressive Motion Generation via Sparse Anchor Postures Curriculum Learning
10.
LengthAware Motion Synthesis via Latent Diffusion
11.
IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model
12.
UniMoGen: Universal Motion Generation
13.
AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion
14.
Flame: Free-form language-based motion synthesis & editing
15.
Human Motion Diffusion as a Generative Prior
16.
Text-driven Human Motion Generation with Motion Masked Diffusion Model
17.
ReMoDiffuse: RetrievalAugmented Motion Diffusion Model
18.
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
19.
ReAlign: Bilingual Text-to-Motion Generation via Step-Aware Reward-Guided Alignment
20.
Absolute Coordinates Make Motion Generation Easy
21.
Seamless Human Motion Composition with Blended Positional Encodings
22.
FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
23.
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
24.
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
25.
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework
26.
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation
27.
Motion Mamba: Efficient and Long Sequence Motion Generation
28.
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
29.
T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences
30.
AttT2M:Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
31.
BAD: Bidirectional Auto-Regressive Diffusion for Text-to-Motion Generation
32.
MMM: Generative Masked Motion Model
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Priority-Centric Human Motion Generation in Discrete Latent Space
34.
AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
35.
MotionGPT: Human Motion as a Foreign Language
36.
Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation
37.
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
38.
Incorporating Physics Principles for Precise Human Motion Prediction
39.
PIMNet: Physics-infused Neural Network for Human Motion Prediction
40.
PhysDiff: Physics-Guided Human Motion Diffusion Model
41.
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
42.
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
43.
Geometric Neural Distance Fields for Learning Human Motion Priors
44.
Character Controllers Using Motion VAEs
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Improving Human Motion Plausibility with Body Momentum
46.
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
47.
Modi: Unconditional motion synthesis from diverse data
48.
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
49.
A deep learning framework for character motion synthesis and editing
50.
Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors
51.
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
52.
X-MoGen: Unified Motion Generation across Humans and Animals
53.
Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis
54.
MotionShot: Adaptive Motion Transfer across Arbitrary Objects for Text-to-Video Generation
55.
Drop: Dynamics responses from human motion prior and projective dynamics
56.
POMP: Physics-constrainable Motion Generative Model through Phase Manifolds
57.
Dreamgaussian4d: Generative 4d gaussian splatting
58.
Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video
59.
AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation
60.
ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction
61.
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
62.
Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals
63.
Think Before You Diffuse: LLMs-Guided Physics-Aware Video Generation
64.
Generating time-consistent dynamics with discriminator-guided image diffusion models
65.
GENMO:AGENeralist Model for Human MOtion
66.
HGM3: HIERARCHICAL GENERATIVE MASKED MOTION MODELING WITH HARD TOKEN MINING
67.
Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion
68.
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
69.
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
70.
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
71.
DragAnything: Motion Control for Anything using Entity Representation
72.
PhysAnimator: Physics-Guided Generative Cartoon Animation
73.
SOAP: Style-Omniscient Animatable Portraits
74.
Neural Discrete Representation Learning
75.
TSTMotion: Training-free Scene-aware Text-to-motion Generation
76.
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
77.
A lip sync expert is all you need for speech to lip generation in the wild
78.
MUSETALK: REAL-TIME HIGH QUALITY LIP SYN-CHRONIZATION WITH LATENT SPACE INPAINTING
79.
LatentSync: Audio Conditioned Latent Diffusion Models for Lip Sync
80.
T2m-gpt: Generating human motion from textual descriptions with discrete representations
81.
Motiongpt: Finetuned llms are general-purpose motion generators
82.
Guided Motion Diffusion for Controllable Human Motion Synthesis
83.
OmniControl: Control Any Joint at Any Time for Human Motion Generation
84.
Learning Long-form Video Prior via Generative Pre-Training
85.
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
86.
Magic3D: High-Resolution Text-to-3D Content Creation
87.
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
88.
One-Minute Video Generation with Test-Time Training
89.
Key-Locked Rank One Editing for Text-to-Image Personalization
90.
MARCHING CUBES: A HIGH RESOLUTION 3D SURFACE CONSTRUCTION ALGORITHM
91.
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
92.
NULL-text Inversion for Editing Real Images Using Guided Diffusion Models
93.
simple diffusion: End-to-end diffusion for high resolution images
94.
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
95.
Scalable Diffusion Models with Transformers
96.
All are Worth Words: a ViT Backbone for Score-based Diffusion Models
97.
An image is worth 16x16 words: Transformers for image recognition at scale
98.
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
99.
Photorealistic text-to-image diffusion models with deep language understanding||Imagen
100.
DreamFusion: Text-to-3D using 2D Diffusion
101.
GLIGEN: Open-Set Grounded Text-to-Image Generation
102.
Adding Conditional Control to Text-to-Image Diffusion Models
103.
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
104.
Multi-Concept Customization of Text-to-Image Diffusion
105.
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
106.
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
107.
VisorGPT: Learning Visual Prior via Generative Pre-Training
108.
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
109.
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
110.
ModelScope Text-to-Video Technical Report
111.
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
112.
Make-A-Video: Text-to-Video Generation without Text-Video Data
113.
Video Diffusion Models
114.
Learning Transferable Visual Models From Natural Language Supervision
115.
Implicit Warping for Animation with Image Sets
116.
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
117.
Motion-Conditioned Diffusion Model for Controllable Video Synthesis
118.
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
119.
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation
120.
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
121.
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
122.
A Recipe for Scaling up Text-to-Video Generation
123.
High-Resolution Image Synthesis with Latent Diffusion Models
124.
Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
125.
数据集：HumanVid
126.
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
127.
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
128.
数据集：Zoo-300K
129.
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
130.
LORA: LOW-RANK ADAPTATION OF LARGE LAN-GUAGE MODELS
131.
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
132.
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
133.
MagicPony: Learning Articulated 3D Animals in the Wild
134.
Splatter a Video: Video Gaussian Representation for Versatile Processing
135.
数据集：Dynamic Furry Animal Dataset
136.
Artemis: Articulated Neural Pets with Appearance and Motion Synthesis
137.
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation
138.
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
139.
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
140.
Humans in 4D: Reconstructing and Tracking Humans with Transformers
141.
Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignment
142.
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
143.
Imagic: Text-Based Real Image Editing with Diffusion Models
144.
DiffEdit: Diffusion-based semantic image editing with mask guidance
145.
Dual diffusion implicit bridges for image-to-image translation
146.
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
147.
Prompt-to-Prompt Image Editing with Cross-Attention Control
148.
WANDR: Intention-guided Human Motion Generation
149.
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
150.
3D Gaussian Splatting for Real-Time Radiance Field Rendering
151.
Decoupling Human and Camera Motion from Videos in the Wild
152.
HMP: Hand Motion Priors for Pose and Shape Estimation from Video
153.
HuMoR: 3D Human Motion Model for Robust Pose Estimation
154.
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video
155.
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
156.
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
157.
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
158.
Elucidating the Design Space of Diffusion-Based Generative Models
159.
SCORE-BASED GENERATIVE MODELING THROUGHSTOCHASTIC DIFFERENTIAL EQUATIONS
160.
Consistency Models
161.
Classifier-Free Diffusion Guidance
162.
Cascaded Diffusion Models for High Fidelity Image Generation
163.
LEARNING ENERGY-BASED MODELS BY DIFFUSIONRECOVERY LIKELIHOOD
164.
On Distillation of Guided Diffusion Models
165.
Denoising Diffusion Implicit Models
166.
PROGRESSIVE DISTILLATION FOR FAST SAMPLING OF DIFFUSION MODELS
167.
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
168.
ControlVideo: Training-free Controllable Text-to-Video Generation
169.
Pix2Video: Video Editing using Image Diffusion
170.
Structure and Content-Guided Video Synthesis with Diffusion Models
171.
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
172.
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
173.
Dreamix: Video Diffusion Models are General Video Editors
174.
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
175.
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
176.
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing
177.
Content Deformation Fields for Temporally Consistent Video Processing
178.
PFNN: Phase-Functioned Neural Networks
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ReadPapers
Flame: Free-form language-based motion synthesis & editing